نگاشت و مصورسازي پراكندگي جغرافيايي ثروت علمي در ايران

Mapping and Visualization of the Distribution of Scientific Wealth in Iran. Journal of Information Processing and Management

پژوهش حاضر با مطالعه وضعيت پراكندگي «ثروت علمي» در ايران، به بررسي چگونگي مصورسازي توليد و مصرف علم كشور با استفاده از نقشه هاي جغرافيايي مي پردازد. در بخش نخست، مدل هاي مفهومي مطلوب براي طراحي يك سامانه مكاني براي نمايش چگونگي توليد و توزيع علم در كشور بر اساس پايگاه هاي داده كتابشناختي ارايه و تبيين شده است. سپس ساختار اوليه يك سامانه پيشنهادي و نتايج به دست آمده بر اساس نمونه هايي از مصورسازي اطلاعات بر روي نقشه ارايه شده است. نتايج اين مطالعه نشان مي دهد كه نقشه هاي جغرافيايي تعاملي مانند گوگل مپز و گوگل ارت توانايي بازنمايي پراكندگي علم در سطح كشور را دارند و از سوي ديگر، بيشتر منابع توليد و نمايه شده علمي به دليل داشنن بار مكاني، مي توانند مورد تحليل جغرافيايي قرار گيرند. يافته هاي پژوهش حاضر مي تواند در ايجاد يك سامانه تحليلي مكانمحور براي مطالعه روندهاي توزيع و بهره گيري از ثروت علمي به كار رود.

This research addresses the issues of measuring the geographic distribution of scientific wealth in Iranian provinces. It focuses on mapping and visualization of scientific production and use in the country. The share of each province in the national scientific wealth of Iran has been measured through counting the documents indexed and retrieved from IRANDOC bibliographic databases. The seven specialized databases of IRANDOC include journal articles, conference articles, theses, governmental reports and so on consisting over half a million bibliographic records. Dividing the provinces in three classes of poor, average and rich according to their contribution in Iranian scientific wealth, Tehran and Isfahan provinces were tagged as the richest. A comprehensive description on developing a GIS model to visualize the distribution of scientific wealth in Iran is given in the paper and results are interpreted. In each case, the search results have analyzed more via a post-query spatial analysis for extraction of locations and comparing the extracted locations with a national gazetteer in order to find the proper province(s) for each single retrieved record. Using an interactive map, the share of each province in the retrieved results was illustrated on map and compared with the other provinces. It has been noticed that a combination of online or offline interactive maps e.g. Google Maps and Google Earth and geographically tagged bibliographic data can result in a location-aware search and retrieval tool where in-depth analysis of search results will be possible. The outcomes of this research can be used in planning for sustainable and balanced development of the country.